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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 54 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: A good choice for choice modeling
Maximum difference scaling lets researchers present respondents with large numbers of choice options without making the process onerous. The article uses examples of a hotel loyalty program and restaurant menu optimization to show the technique in action.
Five pitfalls to avoid for successful linkage analysis
Whether simple or complex, the linkage process is fraught with potential perils. This article outlines five of them and offers strategies to work around them.
Data Use: Structured Equation Models: an introduction
This article describes an analysis technique known as Structured Equations Models (SEM), also called Causal Modeling, Latent Variable Modeling, and LISREL models. The author illustrates how SEM can help analyze results of conjoint analysis to more fully understand the motivational, perceptual or psychological determinants of perceived value.
Data Use: Computers know 'how' but they don't know 'what'
This article points to several potential pitfalls of taking statistical software results at face value.
Pitney Bowes places a premium on soliciting and acting on customer feedback
Using the practices of Pitney Bowes as examples, the authors argue that buyers of business-to-business products and services can learn a lot about a vendor by examining how it measures customer satisfaction.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Understanding the challenges of cross-cultural scaling
SSI’s Pete Cape offers some guidance for approaching problems related to cultural differences in scale usage.
Mobile sample size: How much is enough?
Analysis of mobile consumer research uncovers what using a smaller sample size means to a study's statistical significance.
Satisfying stats: How numbers helped a diner optimize its menu
This article addresses the changing role of statistics in marketing research and uses menu optimization for the fictional Johnny's American Diner to demonstrate how numbers can tell an engaging and actionable story.
Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.

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